CV

General Information

Full Name Mohab Kishawy
Position Ph.D. Candidate in Electrical and Computer Engineering, McMaster University
Seeking Research scientist roles in computer vision and 3D vision, from January 2027 (onsite or remote)
Email kishawym@mcmaster.ca
Languages English (fluent), Arabic (native)
Summary Computer vision researcher working on physically grounded image restoration and 3D scene reconstruction, with first-author papers at ICPR 2026, the CVPR 2026 Workshops, and Scientific Reports, and four top-5 finishes in NTIRE challenges at CVPR (2024–2026).
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Education

  • 2023 – 2026

    Canada

    Ph.D. in Electrical and Computer Engineering
    McMaster University
    • Sep 2023 – Dec 2026 (expected)
    • Thesis: Modelling the Physics of Degradation: Retinex-Based Restoration from 2D Images to 3D Scenes
    • Advisor: Prof. Jun Chen
    • GPA: 11.0/12.0 · Full scholarship
  • 2018 – 2023

    Egypt

    B.Sc. in Computer Engineering
    Nile University

Research Experience

  • 2023 – now

    Canada

    Computer Vision Researcher
    McMaster University, advised by Prof. Jun Chen
    • Physically grounded, Retinex-based restoration of ultra-high-definition images (Mamba, frequency-domain modelling) and of 3D scenes (3D Gaussian Splatting); released open-source code and pre-trained models.
    • Led team entries in five NTIRE challenges at CVPR (2024, 2026) and competed in a sixth (2025), with four top-5 finishes.
  • 2021 – 2022

    Egypt

    Machine Learning Researcher
    Helwan University, Electronics and Computer Engineering Lab
    • Dec 2021 – Dec 2022
    • Automated assessment of students in online labs from mouse-tracking data, saving 32 hours of grading per term.
  • 2021

    Egypt

    Research Assistant
    Nile University, Wireless Intelligent Network Center (WINC)
    • Feb 2021 – Aug 2021
    • Plant-disease detection with a modified CNN; federated learning for lane segmentation on autonomous vehicles.

Selected Publications

  • 2026
    VeilGS: Solving Darkness as a Veil of 2D Basis Maps over Retinex 3DGS
    • M. Kishawy, C. Tang, S. Shirani, J. Chen
    • Under review. Manuscript available on request.
  • 2026
    RetinexDual: Retinex-Based Dual Nature Approach for Generalized Ultra-High-Definition Image Restoration
    • M. Kishawy, A. A. Hussein, J. Chen
    • International Conference on Pattern Recognition (ICPR), Lecture Notes in Computer Science, Springer, pp. 90–105, 2026. Poster, Lyon, France.
  • 2026
    RetinexDualV2: Physically-Grounded Dual Retinex for Generalized UHD Image Restoration
    • M. Kishawy, J. Chen
    • IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, pp. 1989–1998, 2026. Poster, NTIRE Workshop, Denver, CO, USA.
  • 2024
    Federated Learning System on Autonomous Vehicles for Lane Segmentation
    • M. M. Eid Kishawy, M. T. Abd El-Hafez, R. Yousri, M. S. Darweesh
    • Scientific Reports, vol. 14, art. 25029, 2024.

Other Publications

  • 2026
    NTIRE 2026 The Second Challenge on Day and Night Raindrop Removal for Dual-Focused Images: Methods and Results
    • X. Li, Y. Jin, S. Yao, …, M. Kishawy, J. Chen, … (98 authors)
    • IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, pp. 2054–2070, 2026.
    • Our team (RetinexDualV2) placed 4th.
  • 2026
    Low Light Image Enhancement Challenge at NTIRE 2026
    • G. Ciubotariu, S. S. M. A, …, M. Kishawy, J. Chen, … (91 authors)
    • IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, pp. 1741–1753, 2026.
    • Our team (RetinexDualV2) placed 5th in Track 2: Joint Denoising and Low-Light Image Enhancement (JDLLIE).
  • 2026
    NTIRE 2026 Nighttime Image Dehazing Challenge Report
    • R. P. Ancuti, A. Brateanu, …, M. Kishawy, … (89 authors)
    • IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, pp. 1608–1625, 2026.
    • Co-authored as a participating team (RetinexDualV2).
  • 2026
    Advances in Single-Image Shadow Removal: Results from the NTIRE 2026 Challenge
    • F.-A. Vasluianu, T. Seizinger, …, M. Kishawy, J. Chen, … (90 authors)
    • IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, pp. 2582–2595, 2026.
    • Co-authored as a participating team (RetinexDualV2).
  • 2025
    NTIRE 2025 Challenge on Low Light Image Enhancement: Methods and Results
    • X. Liu, Z. Wu, F.-A. Vasluianu, …, M. Kishawy, J. Chen, … (105 authors)
    • IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, pp. 1196–1206, 2025.
    • Our team (Imagine) placed 2nd overall, with the highest PSNR.
  • 2024
    NTIRE 2024 Dense and Non-Homogeneous Dehazing Challenge Report
    • C. O. Ancuti, C. Ancuti, …, M. Kishawy, … (68 authors)
    • IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, pp. 6453–6468, 2024.
    • Our team (ITB Dehaze) placed 4th.
  • 2022
    A Generic AI-Based Technique for Assessing Student Performance in Conducting Online Virtual and Remote Controlled Laboratories
    • A. M. Abd El-Haleem, M. M. Eid, M. M. Elmesalawy, H. A. H. Hosny
    • IEEE Access, vol. 10, pp. 128046–128065, 2022.
  • 2022
    A New Intelligent System for Evaluating and Assisting Students in Laboratory Learning Management System
    • H. A. Hassan, M. M. Eid, M. M. Elmesalawy, A. M. Abd El-Haleem
    • 14th International Conference on Computational Intelligence and Communication Networks (CICN), pp. 566–571, 2022.
  • 2021
    Using Machine Learning Algorithms for Breast Cancer Diagnosis
    • M. M. El-Lamey, M. M. Eid, M. Gamal, N. M. Bishady, A. W. Mohamed
    • International Journal of Applied Metaheuristic Computing, vol. 12, no. 4, pp. 117–137, 2021.
    • Reprinted in Research Anthology on Medical Informatics in Breast and Cervical Cancer, IGI Global, pp. 768–791, 2022.
  • 2021
    Modelling and Analysis the Population Density Effect on the Infectiousness Rate of COVID-19 Novel Virus and the Mortality Rate Percentage Regarding Oxford's Stringency Index Model of Governmental Response in MATLAB
    • A. M. Ibrahim, N. E. M. Bishady, S. H. Elghalban, N. N. Mostafa, M. M. Eid, K. M. Abdelhamid
    • In Artificial Intelligence for COVID-19, Studies in Systems, Decision and Control, Springer, pp. 437–462, 2021.
  • 2020
    Modeling the Effect of Population Density on Controlling COVID-19 Initial Spread with the Use of MATLAB Numerical Methods and Stringency Index Model
    • A. M. Ibrahim, M. M. Eid, N. N. Mostafa, N. E. M. Bishady, S. H. Elghalban
    • 2nd Novel Intelligent and Leading Emerging Sciences Conference (NILES), pp. 612–617, 2020.

Honors and Awards

  • 2026
    • 4ᵗʰ Place, NTIRE 2026 Day and Night Raindrop Removal Challenge, CVPR 2026
    • 5ᵗʰ Place, NTIRE 2026 Joint Denoising and Low-Light Image Enhancement track, CVPR 2026
  • 2025
    • 2ⁿᵈ Place, NTIRE 2025 Low Light Image Enhancement Challenge, CVPR 2025 (highest PSNR)
  • 2024
    • 4ᵗʰ Place, NTIRE 2024 Dense and Non-Homogeneous Dehazing Challenge, CVPR 2024
  • 2023
    • 1ˢᵗ Place, Hacktrick AI Hackathon, Dell Technologies
    • 2ⁿᵈ Place, AIC Competition for Arabic Text Summarization, Military Technical College, Egypt
    • Full Ph.D. Scholarship, McMaster University (2023–2026)
  • 2022
    • Best Solution Challenge Chapter (Global), Google Developer Student Clubs
    • Shield of Contribution, School of Engineering and Applied Sciences, Nile University
  • 2021
    • Dean's Honor List (GPA above 3.75/4.00), Fall and Spring, Nile University
  • 2018
    • Full B.Sc. Scholarship, Nile University (2018–2023)
  • 2017
    • 3ʳᵈ Place (Embedded Systems), Intel International Science and Engineering Fair (ISEF)
  • 2015
    • Bronze Medal, Egyptian Olympiad in Informatics

Presentations

  • 2026
    • Poster, RetinexDual, ICPR 2026, Lyon, France (Aug 2026)
    • Poster, RetinexDualV2, CVPR 2026 NTIRE Workshop, Denver, CO, USA (Jun 2026)

Teaching

  • 2023 – now

    Canada

    Teaching Assistant
    McMaster University, Department of Electrical and Computer Engineering
    • COMPENG 2SH4: Principles of Programming (Fall 2025, Fall 2026)
    • COMPENG 3SM4: Algorithm Design and Analysis (Winter 2024, 2025, 2026)
    • ELECENG 3TQ3: Advanced Probability and Random Processes (Fall 2024)
    • COMPENG 4DM4: Computer Architecture (Fall 2023)

Academic Service

  • Reviewer: AAAI Conference on Artificial Intelligence (AAAI 2025); IEEE Access (6 reviews, 2022–2023); Entropy (2026)

Skills

  • Programming
    • Python, C/C++, MATLAB, Java, Bash
  • Deep Learning
    • PyTorch, CUDA, TensorFlow/Keras, Hugging Face, timm, BasicSR, mamba-ssm, Weights & Biases, multi-GPU training
  • Vision and 3D
    • Image restoration and enhancement, 3D Gaussian Splatting, NeRF, OpenCV, segmentation (U-Net), YOLO, SAM
  • Other
    • Federated learning (Flower), NVIDIA Jetson/TensorRT, Git, Linux, LaTeX

Leadership and Outreach

  • 2021 – 2022
    Lead, Google Developer Student Clubs
    Nile University
    • Led 500+ students; organized workshops and hackathons with the Google community.
  • 2021
    Deep Learning Instructor, Root Student Club
    Nile University
    • Designed and taught a 6-month deep learning bootcamp for 120+ students.
  • 2019 – 2021
    Senator, Nile University Student Union
    Nile University
  • 2019 – 2020
    Instructor, ICPC Training
    Nile University
    • Trained competitive-programming teams in algorithms and problem solving.